Triple
T8223360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Naismith |
E192118
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Naismith
Naismith is a Scottish-origin surname best known for its association with James Naismith, the inventor of basketball.
|
E55564
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Naismith | Statement: [Laurence Naismith, familyName, Naismith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naismith Context triple: [Laurence Naismith, familyName, Naismith]
-
A.
James Naismith
James Naismith was a Canadian physical educator and coach best known as the inventor of the game of basketball in 1891.
-
B.
John Dwan
John Dwan was an American businessman best known as one of the original founders of the multinational conglomerate 3M.
-
C.
George Mikan
George Mikan was a pioneering American professional basketball center widely regarded as the sport’s first dominant big man and an early superstar who helped shape the modern game.
-
D.
Earl Lloyd
Earl Lloyd was an American professional basketball player best known as the first African American to play in an NBA game.
-
E.
Spencer Haywood
Spencer Haywood is a Hall of Fame American basketball player known for his dominant early career in the ABA and NBA and for his landmark Supreme Court case that opened the league to underclassmen.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naismith Triple: [Laurence Naismith, familyName, Naismith]
Generated description
Naismith is a Scottish-origin surname best known for its association with James Naismith, the inventor of basketball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naismith Target entity description: Naismith is a Scottish-origin surname best known for its association with James Naismith, the inventor of basketball.
-
A.
James Naismith
chosen
James Naismith was a Canadian physical educator and coach best known as the inventor of the game of basketball in 1891.
-
B.
John Dwan
John Dwan was an American businessman best known as one of the original founders of the multinational conglomerate 3M.
-
C.
George Mikan
George Mikan was a pioneering American professional basketball center widely regarded as the sport’s first dominant big man and an early superstar who helped shape the modern game.
-
D.
Earl Lloyd
Earl Lloyd was an American professional basketball player best known as the first African American to play in an NBA game.
-
E.
Spencer Haywood
Spencer Haywood is a Hall of Fame American basketball player known for his dominant early career in the ABA and NBA and for his landmark Supreme Court case that opened the league to underclassmen.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cae2948190ae4507b75b5d5784 |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccee09ac548190a9988ff77d43e77e |
completed | April 1, 2026, 10:06 a.m. |
| NEDg | Description generation | batch_69ccf1bc720081908c4eabf58336318a |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05eaba1c81908510a20b1ca93821 |
completed | April 1, 2026, 11:47 a.m. |
Created at: March 30, 2026, 5:45 p.m.